Study on fabric drape evaluation based on Fuzzy Possibilistic C-Means Clustering

In this paper, drape property measured values are classified into 5 grades based on FPCM(Fuzzy Possibilistic C-Means Clustering), which resolves problem of the noise point's impact on clustering center that cannot be done in FCM(Fuzzy C-Means Clustering). It restrains the errors caused by all k...

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Bibliographic Details
Published in2011 6th IEEE Conference on Industrial Electronics and Applications pp. 407 - 412
Main Author Li Hui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Algorithm design and analysis
Classification algorithms
Clustering algorithms
Conferences
drape
evaluation
Fabrics
fuzzy cluster
Fuzzy Possibilistic C-Means Clustering(FPCM)
Morphology
Noise
noisy point
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ISBN9781424487547
1424487544
ISSN2156-2318
DOI10.1109/ICIEA.2011.5975618

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Summary:In this paper, drape property measured values are classified into 5 grades based on FPCM(Fuzzy Possibilistic C-Means Clustering), which resolves problem of the noise point's impact on clustering center that cannot be done in FCM(Fuzzy C-Means Clustering). It restrains the errors caused by all kinds of unfavorable factors, and then clustering center is more precise. By testing 124 fabric samples, it is verified that analysis of FPCM clustering and subjective evaluation are well consistent.
ISBN:9781424487547
1424487544
ISSN:2156-2318
DOI:10.1109/ICIEA.2011.5975618